The identification of traffic crash hot zones under the link-attribute and event-based approaches in a network-constrained environment

Abstract In the spatial analysis of road traffic crashes, a hot zone methodology explicitly uses the network contiguity of more than one road segment as a criterion in identifying crash clusters. In this paper, 603 simulated patterns of traffic crashes in three simplified hypothetical networks and the empirical crash pattern in Hong Kong from 2008 to 2010 (with a total of 30,490 traffic crashes on 1090 km of roads) are analyzed using the link-attribute approach and the network-constrained event-based approach. Procedures for identifying hot zones using statistical thresholds are developed. This paper represents the first systematic comparison of hot zone results using these two different approaches. The results suggest that the link-attribute approach and network-constrained event-based approach are usually consistent but there are major differences between the two approaches.

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